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Twitter cuts off firehose access for third-party data resellers DataSift and NTT Data as Twitter grows in-house big data business

Twitter Cuts Off DataSift To Step Up Its Own Big Data Business  —  In the push for more revenue growth, Twitter has been building up its business in areas …

TechCrunch Ingrid Lunden

Context & Ripple Effects

The move lands months after IBM unveiled developer tools and cloud services mining Twitter data, proof that Twitter's data exhaust had become a licensed product line worth building around. Now Twitter is pulling distribution back inside the walls: resellers DataSift and NTT Data are losing the firehose so Twitter can sell its own big data products directly.

First-order effects

  • DataSift and NTT Data lose their core supply overnight — DataSift says its Twitter access expires in August and is warning customers and their customers downstream, while pointing them toward its Facebook data offering instead.
  • Buyers who built social-analytics pipelines on DataSift's Twitter feed face forced migration before August, with Twitter's own sales team as one of the few replacement vendors.

Second-order effects

  • Resellers that survive will compete on non-Twitter sources — DataSift is already touting Facebook access, shifting competitive differentiation from Twitter coverage to multi-platform breadth.
  • Twitter retains tighter leverage over the partners it keeps: a year later, Dataminr, which still uses the full firehose, was barred by Twitter from serving US intelligence agencies — showing access now comes with behavioral conditions attached.

Third-order effects

  • Firehose access stops being an open ecosystem feature and becomes a revocable commercial lever, with Twitter deciding who gets data, on what terms, and for what end uses.
  • If the pattern holds, platform data consolidates into vertically integrated businesses — and the pressure falls hardest on intermediaries whose entire product is someone else's pipe, a squeeze compounding Twitter's own problem of reversing a sales slowdown driven partly by weak demand for results-focused pricing.

The trend: Social platforms are converting open data APIs into directly monetized, tightly controlled channels, squeezing third-party resellers out of the middle.